Genotype by Environment Interaction on Resistance to Cassava Green Mite Associated Traits and Effects on Yield Performance of Cassava Genotypes in Nigeria

Jiwuba, Lydia; Danquah, Agyemang; Asante, Isaac; Blay, Essie; Onyeka, Joseph; Danquah, Eric; Egesi, Chiedozie

doi:10.3389/fpls.2020.572200

Cited by 29 publications

(20 citation statements)

References 30 publications

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“…Mite severity (CM), a visual rating of damage caused by mites, and leaf retention (LR), a visual rating of leaf longevity, were evaluated (Jiwuba et al 2020).…”

Section: Traits Measuredmentioning

confidence: 99%

Genetic parameters and path analysis for root yield of cassava under drought and early harvest

Oliveira

Borel

Pereira

et al. 2021

Crop Breed. Appl. Biotechnol.

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The objectives of this study were to estimate genetic parameters and identify traits that contribute to early yield in Manihot esculenta Crantz. Ten traits were evaluated in two experiments, one with 138 genotypes and the other with 133, using a completely randomized block design with four replications. All genotype effects were significant. The accuracy was high for the traits, except leaf retention (0.57), and reliability ranged from 0.33 to 0.75. Root weight (RW) and number of roots (NR) showed the highest selection effectiveness (CV r ), although the estimate was less than 1. Moreover, RW and NR obtained high genetic correlation (0.70). Path analysis showed that only number of roots had a significant direct effect on root weight (0.49), and no indirect effect was found. Therefore, accessions exhibited sufficient genetic variability, and indirect selection based on early evaluation of number of roots can be applied in cassava breeding for fresh root yield, increasing gain over time.

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“…Mite severity (CM), a visual rating of damage caused by mites, and leaf retention (LR), a visual rating of leaf longevity, were evaluated (Jiwuba et al 2020).…”

Section: Traits Measuredmentioning

confidence: 99%

Genetic parameters and path analysis for root yield of cassava under drought and early harvest

Oliveira

Borel

Pereira

et al. 2021

Crop Breed. Appl. Biotechnol.

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“…The performance of cassava is subject to the strong influence of genotype, environment and G * E interactions [15] [29] [47]. TARI-Naliendele has been developing improved genotypes, however, only a few varieties have been released.…”

Section: Discussionmentioning

confidence: 99%

“…Deployment of cassava varieties with dual resistance to both diseases is currently being pursued as the most effective and sustainable way to manage the devastating effects of the viral diseases in Eastern and Southern Africa [14]. CMD, CBSD and yield traits expression in cassava can be influenced by the environment leading to varied phenotypes in different environments [15] [16] [17]. This is defined as genotype-by-environment (G * E) interaction [18] and it can result from differences in the sensitivities of genotypes to the conditions in the target environment [19].…”

Section: Introductionmentioning

confidence: 99%

“…However, the stability parameter alone does not give much information about the yield or performance of a genotype and cannot be used as the only selection parameter since most stable genotypes would not necessarily be the best with regards to desirable traits. Therefore, Jiwuba et al [15], Nduwumuremyi et al [28] and Tumuhimbise et al [29] used yield stability index (YSI) and genotype stability index (GSI) which incorporate high yield or performance with stability. Both the YSI and the GSI are based on the sum of the ranking due to ASV scores and yield or performance ranking.…”

Section: Introductionmentioning

confidence: 99%

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Adaptability and Phenotypic Stability of Resistance to Two Viral Diseases and Yield Traits in Cassava

Kimata¹,

Masinde²,

Masisila³

et al. 2021

AJPS

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Cassava productivity is hampered by pests and diseases including cassava mosaic disease (CMD) and cassava brown streak disease (CBSD). The main objective of this study was to identify stable superior genotypes that combine disease resistance and high yield. Sixteen cassava genotypes were planted in a randomized complete block design with three replications for six planting seasons (years) at five sites in Tanzania. The genotypes were assessed using the additive main effect and multiplicative interaction (AMMI) analysis, and highly significant (P < 0.001) effects of genotype, environment, and genotypeby-environment (G * E) interactions were observed for all traits studied. Percent sum of squares (SS) due to environment (12.66% -85.23%) was the highest followed by G * E (14.12% -39.56%) for CMD foliar symptoms, root weight and dry matter. On the other hand, % SS due to genotype (52.14% -69.14%) was highest followed by G * E (26.14% -35.91%) for CBSD foliar and root symptoms indicating that the environment and G * E greatly influenced trait expression. The most stable genotypes which combined disease resistance and high yield were NDL 2003/31 and NDL 2003/111. The findings of this study will give impetus for the release of new cassava varieties that are not only high yielding but are also dually resistant to both CMD and CBSD in different locations and sites.

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“…Hence, any further evaluation of the genotypes for identification of loci of resistance via linkage mapping or association mapping or even prediction studies is highly influenced with the unstable phenotypic response. Various stability approaches have been designed and implemented across crops for several phenotypes (including diseases) to overcome the variance introduced by G × E ( Juliana et al, 2017 ; Tekalign et al, 2017 ; Elbasyoni et al, 2019 ; Parmley et al, 2019 ; Jiwuba et al, 2020 ).…”

Section: Introductionmentioning

confidence: 99%

Evaluations of Genomic Prediction and Identification of New Loci for Resistance to Stripe Rust Disease in Wheat (Triticum aestivum L.)

et al. 2021

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Stripe rust is one of the most destructive diseases of wheat (Triticum aestivum L.), caused by Puccinia striiformis f. sp. tritici (Pst), and responsible for significant yield losses worldwide. Single-nucleotide polymorphism (SNP) diagnostic markers were used to identify new sources of resistance at adult plant stage to wheat stripe rust (YR) in 141 CIMMYT advanced bread wheat lines over 3 years in replicated trials at Borlaug Institute for South Asia (BISA), Ludhiana. We performed a genome-wide association study and genomic prediction to aid the genetic gain by accumulating disease resistance alleles. The responses to YR in 141 advanced wheat breeding lines at adult plant stage were used to generate G × E (genotype × environment)-dependent rust scores for prediction and genome-wide association study (GWAS), eliminating variation due to climate and disease pressure changes. The lowest mean prediction accuracies were 0.59 for genomic best linear unbiased prediction (GBLUP) and ridge-regression BLUP (RRBLUP), while the highest mean was 0.63 for extended GBLUP (EGBLUP) and random forest (RF), using 14,563 SNPs and the G × E rust score results. RF and EGBLUP predicted higher accuracies (∼3%) than did GBLUP and RRBLUP. Promising genomic prediction demonstrates the viability and efficacy of improving quantitative rust tolerance. The resistance to YR in these lines was attributed to eight quantitative trait loci (QTLs) using the FarmCPU algorithm. Four (Q.Yr.bisa-2A.1, Q.Yr.bisa-2D, Q.Yr.bisa-5B.2, and Q.Yr.bisa-7A) of eight QTLs linked to the diagnostic markers were mapped at unique loci (previously unidentified for Pst resistance) and possibly new loci. The statistical evidence of effectiveness and distribution of the new diagnostic markers for the resistance loci would help to develop new stripe rust resistance sources. These diagnostic markers along with previously established markers would be used to create novel DNA biosensor-based microarrays for rapid detection of the resistance loci on large panels upon functional validation of the candidate genes identified in the present study to aid in rapid genetic gain in the future breeding programs.

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Genotype by Environment Interaction on Resistance to Cassava Green Mite Associated Traits and Effects on Yield Performance of Cassava Genotypes in Nigeria

Cited by 29 publications

References 30 publications

Genetic parameters and path analysis for root yield of cassava under drought and early harvest

Genetic parameters and path analysis for root yield of cassava under drought and early harvest

Adaptability and Phenotypic Stability of Resistance to Two Viral Diseases and Yield Traits in Cassava

Evaluations of Genomic Prediction and Identification of New Loci for Resistance to Stripe Rust Disease in Wheat (Triticum aestivum L.)

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